Open AccessBackmapping coarse-grained macromolecules: An efficient and versatile machine learning approach
Author(s) -
Wei Li,
Craig Burkhart,
Patrycja Polińska,
Vagelis Harmandaris,
Manolis Doxastakis
Publication year - 2020
Publication title -
the journal of chemical physics
Language(s) - English
Resource type - Journals
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/5.0012320
Subject(s) - computer science , representation (politics) , fidelity , benchmark (surveying) , transferability , range (aeronautics) , generative grammar , scale (ratio) , machine learning , artificial intelligence , theoretical computer science , materials science , telecommunications , physics , geodesy , logit , quantum mechanics , politics , political science , law , composite material , geography
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